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09/18/2023
Privileged to Predicted: Towards Sensorimotor Reinforcement Learning for Urban Driving
Reinforcement Learning (RL) has the potential to surpass human performan...
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09/08/2023
Have We Ever Encountered This Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes
In the life cycle of highly automated systems operating in an open and d...
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07/26/2023
ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation
Forecasting future trajectories of agents in complex traffic scenes requ...
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07/16/2023
Multi-Object Discovery by Low-Dimensional Object Motion
Recent work in unsupervised multi-object segmentation shows impressive r...
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01/05/2023
DepthP+P: Metric Accurate Monocular Depth Estimation using Planar and Parallax
Current self-supervised monocular depth estimation methods are mostly ba...
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11/25/2022
Pixels Together Strong: Segmenting Unknown Regions Rejected by All
Semantic segmentation methods typically perform per-pixel classification...
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10/30/2022
Two-Level Temporal Relation Model for Online Video Instance Segmentation
In Video Instance Segmentation (VIS), current approaches either focus on...
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07/01/2022
Trajectory Forecasting on Temporal Graphs
Predicting future locations of agents in the scene is an important probl...
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03/25/2022
StretchBEV: Stretching Future Instance Prediction Spatially and Temporally
In self-driving, predicting future in terms of location and motion of al...
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03/20/2022
Stochastic Video Prediction with Structure and Motion
While stochastic video prediction models enable future prediction under ...
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11/08/2021
Frustum Fusion: Pseudo-LiDAR and LiDAR Fusion for 3D Detection
Most autonomous vehicles are equipped with LiDAR sensors and stereo came...
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10/21/2021
Self-Supervised Monocular Scene Decomposition and Depth Estimation
Self-supervised monocular depth estimation approaches either ignore inde...
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08/05/2021
SLAMP: Stochastic Latent Appearance and Motion Prediction
Motion is an important cue for video prediction and often utilized by se...
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12/22/2017
